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From Rough Sets to Rough Knowledge Bases

From Rough Sets to Rough Knowledge Bases This paper presents an expressive language for representing knowledge about vague concepts. It is based on the rough set formalism and it caters for implicit definition of rough relations by combining different regions (e.g. upper approximation, lower approximation, boundary) of other rough relations. The semantics of the proposed language is obtained by translating it to the language of extended logic programs whose meaning is captured by paraconsistent stable models. A query language is also discussed to retrieve information about the defined rough relations. Motivating examples illustrating the use of the language are described. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Fundamenta Informaticae IOS Press

From Rough Sets to Rough Knowledge Bases

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Publisher
IOS Press
Copyright
Copyright © 2003 by IOS Press, Inc
ISSN
0169-2968
eISSN
1875-8681
Publisher site
See Article on Publisher Site

Abstract

This paper presents an expressive language for representing knowledge about vague concepts. It is based on the rough set formalism and it caters for implicit definition of rough relations by combining different regions (e.g. upper approximation, lower approximation, boundary) of other rough relations. The semantics of the proposed language is obtained by translating it to the language of extended logic programs whose meaning is captured by paraconsistent stable models. A query language is also discussed to retrieve information about the defined rough relations. Motivating examples illustrating the use of the language are described.

Journal

Fundamenta InformaticaeIOS Press

Published: Jan 1, 2003

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